MDRについて
ヘルプ
お問い合わせ
Switch language
日本語
English
ログイン
ログイン
Search MDR
Home
論文・データセット
コレクション
資源タイプ
ジャーナル論文(26)
書籍(2)
プレゼンテーション(2)
報告書(1)
キーワード
Machine learning (31)
Autonomous (4)
Anomalous Hall effect (2)
Combinatorial (2)
Ising machine (2)
ab initio (2)
AI-Driven Glass Design (1)
Automated synthesis (1)
Bayesian optimization (1)
Bayesian spectral deconvolution (1)
(more)
ライセンス
Creative Commons BY Attribution 4.0 International (19)
In Copyright (6)
Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International (2)
cc-by-3.0 (1)
https://creativecommons.org/licenses/by/3.0/ (1)
ファイル種別
application/pdf (31)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (2)
application/zip (1)
ファイル種別: application/pdf
キーワード: Machine learning
全ての絞り込みを解除
31 件のレコードが見つかりました。
Machine Learning-Based Experimental Design in Materials Science
書籍
著者
Tsuda, Koji
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4288-1606
NIMS Researchers Directory SAMURAI
Tsuda, Koji
;
Dieb, Thaer M.
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8111-2009
NIMS Researchers Directory SAMURAI
Dieb, Thaer M.
キーワード
Materials design
,
Machine learning
,
Optimal experiment design
刊行年月日
2018-01-16
更新時刻
2022-10-03 01:58:06 +0900
Elemental Reactivity Maps for Materials Discovery
ジャーナル論文
著者
Yuki Inada
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9104-1320
(unauthenticated)
Yuki Inada
;
Masaya Fujioka
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5829-6591
(unauthenticated)
Masaya Fujioka
;
Haruhiko Morito
(author) (
この著者で検索
)
Haruhiko Morito
;
Tohru Sugahara
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5842-5392
(unauthenticated)
Tohru Sugahara
;
Hisanori Yamane
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7931-5210
(unauthenticated)
Hisanori Yamane
;
Yukari Katsura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8905-2995
NIMS Researchers Directory SAMURAI
Yukari Katsura
キーワード
Crystal structure
,
Elements
,
Machine learning
,
Materials
,
Reactivity
刊行年月日
2025-03-25
更新時刻
2026-02-21 16:30:08 +0900
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
ジャーナル論文
著者
Ryo Toyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7398-5803
NIMS Researchers Directory SAMURAI
Ryo Toyama
;
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Prabhanjan D. Kulkarni
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4605-5256
Prabhanjan D. Kulkarni
;
Hirofumi Suto
(author) (
この著者で検索
)
https://orcid.org/0000-0003-4387-5862
NIMS Researchers Directory SAMURAI
Hirofumi Suto
;
Tomoya Nakatani
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9590-216X
NIMS Researchers Directory SAMURAI
Tomoya Nakatani
;
Yuya Sakuraba
(author) (
この著者で検索
)
https://orcid.org/0000-0003-4618-9550
NIMS Researchers Directory SAMURAI
Yuya Sakuraba
キーワード
Machine learning
,
High-throughput
,
Combinatorial
,
Anomalous Hall effect
刊行年月日
2025-09-03
更新時刻
2025-12-26 13:11:05 +0900
Autonomous search for materials with high Curie temperature using
ab initio
calculations and machine learning
ジャーナル論文
著者
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
キーワード
Machine learning
,
Autonomous
,
Curie temperature
,
ab initio
刊行年月日
2024-12-31
更新時刻
2024-10-04 08:30:28 +0900
Autonomous search for half-metallic materials with
B
2 structure
ジャーナル論文
著者
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Ryo Toyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7398-5803
NIMS Researchers Directory SAMURAI
Ryo Toyama
;
Takahiro Yamazaki
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0738-9373
(unauthenticated)
Takahiro Yamazaki
;
Yasuhiko Igarashi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
Yasuhiko Igarashi
;
Masato Kotsugi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4841-1808
(unauthenticated)
Masato Kotsugi
;
Yuya Sakuraba
(author) (
この著者で検索
)
https://orcid.org/0000-0003-4618-9550
NIMS Researchers Directory SAMURAI
Yuya Sakuraba
キーワード
Machine learning
,
Autonomous
,
ab initio
,
Half metal
刊行年月日
2024-12-31
更新時刻
2024-10-04 08:30:32 +0900
Autonomous materials search using machine learning and ab initio calculations for L1
0
-FePt-based quaternary alloys
ジャーナル論文
著者
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Daisuke Ogawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4373-6435
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Daisuke Ogawa
;
Masato Kotsugi
(author) (
この著者で検索
)
Masato Kotsugi
;
Yukiko K. Takahashi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9197-7236
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yukiko K. Takahashi
キーワード
Machine learning
,
Autonomous
刊行年月日
2025-12-31
更新時刻
2025-12-25 15:02:29 +0900
Toward the Atomic-Level Analysis of Ground-State Electronic Structures of Solid Materials via Prediction from Core-Loss Spectra: A Computational Study in Si
ジャーナル論文
著者
Izumi Takahara
(author) (
この著者で検索
)
Izumi Takahara
;
Fumihiko Uesugi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3346-4218
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Fumihiko Uesugi
;
Koji Kimoto
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3927-0492
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Koji Kimoto
;
Kiyou Shibata
(author) (
この著者で検索
)
Kiyou Shibata
;
Teruyasu Mizoguchi
(author) (
この著者で検索
)
Teruyasu Mizoguchi
キーワード
Machine learning
,
ELNES
,
XANES
,
PDOS
刊行年月日
2024-08-15
更新時刻
2024-10-02 12:30:19 +0900
材料開発における4つのインフォマティクス
報告書
著者
岩﨑 悠真
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
物質・材料研究機構 マテリアル基盤研究センター/材料設計分野/データ駆動型材料設計グループ
NIMS Researchers Directory SAMURAI
岩﨑 悠真
キーワード
Machine learning
刊行年月日
[2024年7月]
更新時刻
2024-12-02 16:31:05 +0900
Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications
ジャーナル論文
著者
Guohai Chen
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
Guohai Chen
;
Dai-Ming Tang
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7136-7481
NIMS Researchers Directory SAMURAI
Dai-Ming Tang
キーワード
Carbon Nanotubes
,
Synthesis
,
Properties
,
Machine learning
刊行年月日
2025-10-20
更新時刻
2025-12-13 08:30:03 +0900
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
ジャーナル論文
著者
Akihiro Nishiguchi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3160-6385
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Akihiro Nishiguchi
;
Miho Ohta
(author) (
この著者で検索
)
Miho Ohta
;
Debabrata Palai
(author) (
この著者で検索
)
https://orcid.org/0000-0003-1192-6143
National Institute for Materials Science
Debabrata Palai
;
Shima Ito
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3233-617X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Shima Ito
;
Kensaku Mori
(author) (
この著者で検索
)
Kensaku Mori
;
Ryotaro Akagi
(author) (
この著者で検索
)
Ryotaro Akagi
;
Christophe Bajan
(author) (
この著者で検索
)
https://orcid.org/0009-0008-1433-9618
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Christophe Bajan
;
Guillaume Lambard
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0275-4079
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Guillaume Lambard
;
Keitaro Sodeyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9228-0729
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Keitaro Sodeyama
;
Tetsushi Taguchi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2541-2530
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Tetsushi Taguchi
キーワード
Hydrogel
,
Embolic agent
,
Machine learning
刊行年月日
2024-11-07
更新時刻
2025-02-26 16:30:29 +0900
キーワード
Machine learning
(31)
Autonomous
(4)
Anomalous Hall effect
(2)
Combinatorial
(2)
Ising machine
(2)
ab initio
(2)
AI-Driven Glass Design
(1)
Automated synthesis
(1)
Bayesian optimization
(1)
Bayesian spectral deconvolution
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Cellular structure
(1)
Cellulose nanofiber
(1)
Ceramic
(1)
Concentrated polymer brush
(1)
Creep
(1)
Critical temperature
(1)
Crystal structure
(1)
Curie temperature
(1)
Deep learning
(1)
Dislocation-network
(1)
Domain knowledge integration
(1)
ELNES
(1)
Electron microscopy
(1)
Elements
(1)
Embolic agent
(1)
Europium
(1)
FePt
(1)
Fragment descriptor
(1)
Gradient-based optimization
(1)
Half metal
(1)
Heat-assisted magnetic recording (HAMR)
(1)
High-entropy alloy
(1)
High-throughput
(1)
High-throughput experiment
(1)
Hydrogel
(1)
Hydrogen embrittlement
(1)
Image segmentation
(1)
Kesterite
(1)
Laser powder bed fusion
(1)
Local structure
(1)
MSS
(1)
Martensitic steel
(1)
Materials
(1)
Materials design
(1)
Materials discovery
(1)
Multicellular dynamics
(1)
Mössbauer spectroscopy
(1)
Olfactory sensor
(1)
Optimal experiment design
(1)
PDOS
(1)
Performance pridiction
(1)
Phase separation
(1)
Phosphor
(1)
Polypropylene
(1)
Process
(1)
Properties
(1)
Proton configuration
(1)
Reactivity
(1)
Retention time prediction
(1)
Structural Materials
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Symbolic regression
(1)
Synthesis
(1)
Thermoelectric
(1)
X-ray diffraction
(1)
XANES
(1)
ab-initio
(1)
active learning
(1)
adhesive
(1)
autonomous materials search
(1)
data bias
(1)
hap (shapley additive explanations)
(1)
large-scale material data
(1)
material informatics
(1)
plasma emission spectrum
(1)
principal component analysis (PCA)
(1)
reactive magnetron sputtering
(1)
RDEメタデータ定義
RDE送り状
<
1
2
3
4
>